Triple
T29214712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portrait of William Pitt the Younger |
E740633
|
entity |
| Predicate | depictedCountry |
P45123
|
FINISHED |
| Object | Great Britain |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Great Britain | Statement: [Portrait of William Pitt the Younger, depictedCountry, Great Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedCountry Context triple: [Portrait of William Pitt the Younger, depictedCountry, Great Britain]
-
A.
depictsCountry
chosen
Indicates that one entity visually represents or portrays a specific country.
-
B.
depictsNationality
Indicates that one entity visually represents or portrays the nationality or national identity of another entity.
-
C.
exhibitedCountry
Indicates the country in which something (such as an artwork, artifact, or exhibit) is or was displayed to the public.
-
D.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
E.
modeledInCountry
Indicates that something (such as a model, design, or representation) was created, developed, or constructed within the specified country.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 12:12 p.m.